Without tensor parallelism, it succeeds. (Not an option for 8x7B as it doesn't fit on one GPU) 👍 1 noamgat changed the title Mixtral 8x7b instruct fails to load on GCP --tensor-parallel-size 2 fails to load on GCP Feb 18, 2024 thisissum commented Feb 18, 2024 I meet the...
Expected behavior / 期待表现 和tensor_parallel_size为1时表现一致 感觉不是模型文件的原因,也不是glm-4模型的问题,我用qwen的模型一样会有这个问题,当2卡的vllm出现kv空间不足的warning时就会出现感叹号。我在vllm的仓库了发现了类似的issue Qwen1.5-14B-Chat使用vllm==0.3.3版本在Tesla V100-PCIE-32GB显卡...
v0.7.3正式支持DeepSeek-AI多令牌预测模块,实测推理速度最高提升69%。只需在启动参数添加--num-speculative-tokens=1即可开启,还能选配--draft-tensor-parallel-size=1进一步优化。更惊人的是,在ShareGPT数据集测试中,该功能实现了81%-82.3%的预测接受率。这意味着在保持精度的同时,大幅缩短了推理耗时。生成式AI开...
当tensor_parallel_size=2被使用时，输出结果为：
当tensor_parallel_size=2被使用时，输出结果为：
try add --privileged to docker
Describe the bug For the model service, the tensor-parallel-size value should be set to the number of GPUs when more than 1 GPUs/vGPUs value is set. To Reproduce Steps to reproduce the behavior: Go to 'LLMOS Management > Model Service' p...
if I set it as 2, how is the parallelism been executed when a inference request comes, It parallel the input tensors to the 2 different GPUs? or it paralle-distribute the model's weight? When I test the time-comsuming of the server with "tensor-parallel-size" = 1or2, I didn't ...
tensor_parallel_size=4, disable_custom_all_reduce=True, quantization=None, enforce_eager=True, kv_cache_dtype=auto, quantization_param_path=None, device_config=cuda, decoding_config=DecodingConfig(guided_decoding_backend='outlines'), seed=0, served_model_name=meta-llama/Meta-Llama-3-8B-Instruct...
vllm+cpu 后端(无 gpu 硬件)时,tensor_parallel_size 应该默认设置成 1 而不是 cuda_count(等于 0) #3207 Sign in to view logs Summary Jobs issue_assign Run details Usage Workflow file Triggered via issue November 14, 2024 08:07 qinxuye commented on #2552 042eb5b Status Success ...